CO2 emission in transportation sector across 51 countries along the Belt and Road from 2000 to 2014

Wang, Chao; Wood, Jacob; Wang, Yongjie; Geng, Xinrui; Long, Xingle

doi:10.1016/j.jclepro.2020.122000

Cited by 94 publications

(38 citation statements)

References 42 publications

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“…According to the Liu, C., et al [29], this article uses the spatial inversed distance matrix to reflect the spatial relationship between different spatial units, and adopts the distance between different provincial capital cities to reflect the distance between different provinces. Then, we can calculate the spatial Moran's I index between different regions [30], and have:…”

Section: The Spatial Relationship Analysis Modelmentioning

confidence: 99%

The Carbon Emission Reduction Effect of Technological Innovation on the Transportation Industry and Its Spatial Heterogeneity: Evidence from China

Shi

Chan

et al. 2021

Atmosphere

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The carbon reduction effect of technological innovation in the transportation industry is conducive to China’s anticipated realization of carbon neutrality. Therefore, we evaluated carbon emission reduction effect of technological innovation in the transportation industry in China. Based on the panel data of 30 sample provinces in China (excluding Hong Kong, Macao, Taiwan and Tibet) from 2012 to 2018, using the Moran’I index and Getis-Ord Gi index, this paper analyzes the evolutionary trend and spatial autocorrelation of carbon emission in the transportation industry, and analyzes the impact of technological innovation on carbon emission levels of the transportation industry and its spatiotemporal differences by using the geographical and temporal weighted regression (GTWR) model by using ArcGIS 10.4 software. The conclusions are as follows: The carbon emission level of China’s transportation industry generally has been rising steadily, showing a spatial distribution pattern of high emissions in the east and low emissions in the west. The cold spots are concentrated in the western region, and the hot spots are situated in the central and eastern regions. Technological innovation has a carbon reduction effect on the transportation industry in the eastern and north-eastern regions, while the effect in other regions is not obvious. However, there is an obvious “inverted U-shaped” relationship between technological innovation and the transportation industry’s carbon emissions. The technological innovation in the transportation industry will have a significant carbon reduction effect after breaking through the technical pain points. This carbon reduction effect has a higher effect on the western region than on the eastern region. In addition, the economic development level, the fiscal expenditure proportion of the transportation industry, the higher education level, and the proportion of fixed asset investment in the transportation industry have played a positive role in reducing carbon in the transportation industry, but the spatial heterogeneity of this carbon reduction effect is relatively strong. Therefore, during the “14th Five-Year Plan” development period in China, it is necessary to continuously promote the low-carbon development of the transportation industry with technological innovation, while highlighting the differentiated carbon reduction governance, and consolidating the role of talents and fiscal support.

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Section: The Spatial Relationship Analysis Modelmentioning

confidence: 99%

The Carbon Emission Reduction Effect of Technological Innovation on the Transportation Industry and Its Spatial Heterogeneity: Evidence from China

Shi

Chan

et al. 2021

Atmosphere

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“…(3) The five drivers had obvious spatial differences and regional concentration characteristics on the intensity of CO 2 emissions. (5) The influence showed an upward or downward trend with time. Therefore, in areas where population, energy intensity, energy structure, urbanization and industrial structure influence gather, multi-provincial linkage will achieve good emission reduction effects.…”

Section: Discussionmentioning

confidence: 98%

“…The driving factors of the CO 2 emissions have been studied based on the factor decomposition methods and environmental impact assessment models [1], [2], [3], which mainly included population, energy, industry, urbanization, and economy. Many scholars have also studied the spatial differences of the CO 2 emissions based on the traditional regression models [4], and studied the spatial autocorrelation of CO 2 emissions based on the Moran index [5]. The results of the study indicate that there were significant spatial differences and autocorrelation in the CO 2 emissions.…”

Section: ．Introductionmentioning

confidence: 99%

Spatio-Temporal Analysis of CO2 Emission Driving Force in Various Provinces in China Using the Extended STIRPAT-GWR Model

Zhang

2021

Frontiers in Artificial Intelligence and Applications

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To fill the shortcomings of traditional research that ignores the driver’s own spatial characteristics and provide a theoretical support to formulate suitable emission reduction policies in different regions across China. In this pursuit, based on the panel data of provincial CO2 emission in 2007, 2012, and 2017, the present study employed the extended environmental impact assessment model (STIRPAT-GWR model) to study the effect of population, energy intensity, energy structure, urbanization and industrial structure on the CO2 emissions in 29 provinces across China. The empirical results show that the effect of drivers on the CO2 emissions exhibited significant variations among the different provinces. The effect of population in the southwest region was significantly lower than that of the central and eastern regions. Provinces with stronger energy intensity effects were concentrated in the central and western regions. The effect of energy structure in the eastern and northern regions was relatively strong, and gradually weakened towards the southeast region. The areas with high urbanization effect were concentrated in the central and the eastern regions. Furthermore, significant changes were observed in the high-effect regions of the industrial structure in 2017. The high-effect area showed a migration from the northwest and northeast regions in 2007 and 2012, respectively, to the southwest and southeast regions in 2017. Urbanization showed the strongest effect on the CO2 emissions, followed by population and energy intensity, and the weakest effect was exhibited by the energy and industrial structure. Thus, the effects of population and energy structure showed a downward trend, in contrary to the effect of urbanization on the CO2 emissions in China.

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“…As more and more firms develop construction business in the BRR, some scholars examined the region's carbon emissions due to industrial activities as environmental concerns. Some studies [25,26] emphasized the importance of low-carbon development index and provided suggestions for a greener transportation industry. Huaping Sun et al [27] studied greenhouse gas emissions and demonstrated that factors such as trade liberalization, urbanization, and industrial energy usage have been responsible for the recent increases in global carbon emissions.…”

Section: Cooperation Of Manufacturing Firms In the Brrmentioning

confidence: 99%

Servitization and Sustainable Value Creation Strategy for China’s Manufacturing Industry: A Multiple Case Study in the Belt and Road Initiative

et al. 2021

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Manufacturers are adding service offerings to satisfy customers’ needs in various markets. Effective strategies for servitization can improve the competitiveness of manufacturers during cooperation. The Belt and Road Initiative (BRI) established by China offers opportunities for economic cooperation and regional integration for the involved countries. Now, many manufacturing firms are expanding their businesses into Belt and Road countries, most firms are facing the “how to do” problems in improving sustainability during their cooperation. They urgently require methodical assistance on both improving competitiveness through servitization and addressing sustainability challenges. This necessitates the firms to develop successful service models for their industrial initiatives and investigate ways to produce long-term sustainable value through services. In addition to the firm’s economic worth, it also entails lowering the project’s negative environmental impact. The results provided effective strategies for manufacturers from two perspectives. The first perspective is the study discovered innovative service models at both the product and project levels. Project-service systems are critical, and manufacturing firms should use innovative service models to deliver projects. The operation method of holistic solution and localization integration project service was addressed in particular in this study. In the second perspective, there are suggestions for achieving sustainability through innovative service models. The methods for preserving sustainable value on the industrial project level were the subject of our study, which included significant criteria and detailed descriptions. The effective project service system should bring sustainable value to the lifespan of an industrial project. This study has determined four major paths to improving sustainable value creation through servitization: improving resource allocation capabilities, reduce carbon emissions through energy project service, technological outputs, and standards exportation. Useful recommendations are provided for manufacturing firms planning to develop their business overseas, especially in BRI countries.

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CO2 emission in transportation sector across 51 countries along the Belt and Road from 2000 to 2014

Cited by 94 publications

References 42 publications

The Carbon Emission Reduction Effect of Technological Innovation on the Transportation Industry and Its Spatial Heterogeneity: Evidence from China

The Carbon Emission Reduction Effect of Technological Innovation on the Transportation Industry and Its Spatial Heterogeneity: Evidence from China

Spatio-Temporal Analysis of CO2 Emission Driving Force in Various Provinces in China Using the Extended STIRPAT-GWR Model

Servitization and Sustainable Value Creation Strategy for China’s Manufacturing Industry: A Multiple Case Study in the Belt and Road Initiative

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